Deen Dayal

572 citations
25 papers · 359 · h-index 10

Impact in

Papers in

    • Hydrology and Drought Analysis 8
    • Flood Risk Assessment and Management 7
    • Climate variability and models 7
    • Hydrological Forecasting Using AI 4
    • Soil Moisture and Remote Sensing 3
    • Urban Stormwater Management Solutions 2

Deen Dayal

23 papers receiving 353 citations

Peers

Deen Dayal
Comparison fields: 5 of 53
  • Global and Planetary Change 274
  • Water Science and Technology 135
  • Environmental Engineering 125
  • Atmospheric Science 68
  • Geochemistry and Petrology 16
Replace Ayob Katimon with:
Ayob Katimon Malaysia
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Deen Dayal relative to Ayob Katimon Malaysia Ayob Katimon's profile →
Citations per field
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Ayob Katimon · 1×
Citations per year

Countries citing papers authored by Deen Dayal

Since Specialization
Citations

This map shows the geographic impact of Deen Dayal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Deen Dayal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deen Dayal more than expected).

Fields of papers citing papers by Deen Dayal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deen Dayal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Deen Dayal. The network helps show where Deen Dayal may publish in the future.

Co-authors

The 25 scholars most cited alongside Deen Dayal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deen Dayal Line = papers co-authored together Deen Dayal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202288
2 202167
3 202161
4 202226
5 202219
6 202118
7 202315
8 201915
9 201911
10 20249
11 20245
12
Investors Awareness and Perceived Risk Attitude towards Mutual Fund: An Empirical Study in Delhi
20145
13 20224
14 19753
15 20182
16 20182
17 20202
18 20241
19 20251
20 20241

About Deen Dayal

Deen Dayal is a scholar working on Global and Planetary Change, Environmental Engineering, Water Science and Technology, Atmospheric Science and Molecular Biology, having authored 25 papers that have together received 359 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (8 papers), Hydrology and Drought Analysis (8 papers), Flood Risk Assessment and Management (7 papers), Climate variability and models (7 papers), Precipitation Measurement and Analysis (6 papers), Hydrological Forecasting Using AI (4 papers), Soil Moisture and Remote Sensing (3 papers) and Urban Stormwater Management Solutions (2 papers). The work is most often cited by research in Global and Planetary Change (274 citations), Water Science and Technology (135 citations), Environmental Engineering (125 citations), Atmospheric Science (68 citations) and Geochemistry and Petrology (16 citations). Deen Dayal has collaborated with scholars based in India, Sweden and Thailand. Frequent co-authors include Sabyasachi Swain, Ashish Pandey, Nadhir Al‐Ansari, Ajay Kumar Taloor, Surendra Kumar Mishra, Praveen Kumar Gupta, S. K. Mishra, Sushil Kumar Himanshu, Prashant K. Srivastava and Santosh S. Palmate. Their work appears in journals such as Environmental Monitoring and Assessment, Hydrological Processes, Hydrological Sciences Journal, Urban Climate and Journal of Aging Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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